扩散模型论文趋势 2023–2026
扩散、flow matching 与 score-based 生成
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 6,900 篇被归入该主题的论文。
主要结论
- 扩散模型论文从 2023 年的 660 篇增长到 2026 年的 2,691 篇，三年间扩大到约 4.1 倍。
- NeurIPS 是发扩散模型论文最多的会议，2023–2026 年共 2,202 篇，占四个会议总量的 32%。
- 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences：同时属于两个主题的论文从 2023 年的 14 篇增至 2026 年的 163 篇。
- 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 1；同组增长最快的深度学习 · foundation models是 2.5 倍，扩散模型是 4.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 327 | 86 | 109 | 138 | 660 |
| 2024 | 520 | 260 | 195 | 496 | 1,471 |
| 2025 | 694 | 487 | 346 | 551 | 2,078 |
| 2026 | 661 | 694 | 728 | 608 | 2,691 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
- ICML 2026“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
- ICLR 2026$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence
- CVPR 20262ndMatch Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching
- NeurIPS 2025$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
- ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
- ICLR 2025$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
- CVPR 20253DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
- NeurIPS 2024$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
- ICML 2024A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
- ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
- CVPR 2024D^4: Dataset Distillation via Disentangled Diffusion Model
- NeurIPS 20233D molecule generation by denoising voxel grids
- ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
- ICLR 2023(Certified!!) Adversarial Robustness for Free!
- CVPR 20233D Neural Field Generation Using Triplane Diffusion
- NeurIPS 2026$\text{PartConcepts}$: A Unified Mechanism for Fine-Grained Part Localization and Generation
- ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
- ICLR 2026$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
- CVPR 20263D-LATTE Latent Space 3D Editing from Textual Instructions
全部扩散模型论文
共 1,378 篇，第 10 / 28 页
- ICML 2026Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization
- ICML 2026Orthogonal Concept Erasure for Diffusion Models
- ICML 2026Overclocking Electrostatic Generative Models
- ICML 2026PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipulation
- ICML 2026PADS-TAL: Padding-Annealed Diffusion Sampling in Text-Aware Latent Space for Robust and Diverse Text-to-Music Generation
- ICML 2026Parameter Manifold Purification
- ICML 2026Parametrized Power-Iteration Clustering for Directed Graphs
- ICML 2026Particle-Guided Diffusion Models for Partial Differential Equations
- ICML 2026PASO: Step Parallel Stochastic Optimization
- ICML 2026Path-Coupled Bellman Flows for Distributional Reinforcement Learning
- ICML 2026Path-Decoupled Hyperbolic Flow Matching for Few-Shot Adaptation
- ICML 2026Personalized Image Generation via Human-in-the-loop Bayesian Optimization
- ICML 2026PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling
- ICML 2026PGC: Peak-Guided Calibration for Generalizable AI-Generated Image Detection
- ICML 2026PhysForge: Generating Physics-Grounded 3D Assets for Interactive Virtual World
- ICML 2026Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them
- ICML 2026Physics-Guided Motion Loss for Video Generation Model
- ICML 2026Physics-Informed Diffusion Models in Spectral Space
- ICML 2026Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation
- ICML 2026Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models
- ICML 2026Plan, Decouple, Assimilate: Physics-Aware Object Insertion in Remote Sensing Imagery
- ICML 2026Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
- ICML 2026Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction
- ICML 2026Plug-and-Play Label Map Diffusion for Universal Goal-Oriented Navigation
- ICML 2026PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution
- ICML 2026PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation
- ICML 2026PolyFlow: Safe and Efficient Polytope-Constrained Flow Matching with Constraint Embedding and Projection-free Update
- ICML 2026PortraitRL: Reinforcement Learning for Personalized Portrait Pose Transfer with Multi-Objective Reward Modeling
- ICML 2026Preference-Calibrated Optimization with Score-Level Distribution Alignment for Text-to-Image Diffusion Model Unlearning
- ICML 2026Principled Confidence Estimation for Deep Computed Tomography
- ICML 2026Principled RL for Flow Matching Emerges from the Chunk-level Policy Optimization
- ICML 2026Probing the Geometry of Diffusion Models with the String Method
- ICML 2026Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers
- ICML 2026PromptRL: Prompt Matters in RL for Flow-Based Image Generation
- ICML 2026ProtoVAR: Efficient Dataset Distillation via Prototype-Guided Visual Autoregressive Modeling
- ICML 2026Proximal-Based Generative Modeling for Bayesian Inverse Problems
- ICML 2026PVDepth: Panoramic Video Depth Estimation via Geometry-Aware Spatiotemporal Adaptation
- ICML 2026Q-DiT4SR: Exploration of Detail-Preserving Diffusion Transformer Quantization for Real-World Image Super-Resolution
- ICML 2026Q-Flow: Stable and Expressive Reinforcement Learning with Flow-based Policy
- ICML 2026Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
- ICML 2026Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization
- ICML 2026Quantifying Error Propagation and Model Collapse in Diffusion Models
- ICML 2026RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation
- ICML 2026RAIGen: Rare Attribute Identification in Text-to-Image Generative Models
- ICML 2026Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields
- ICML 2026Rank-guided Diffusion for Noise Few-Shot Learning
- ICML 2026Rays as Pixels: Learning A Joint Distribution of Video and Camera Trajectories
- ICML 2026Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
- ICML 2026Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models
- ICML 2026Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查扩散模型在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "diffusion-models"}
常见问题
- 2023–2026 年四大会议一共有多少篇扩散模型论文？
- 共 6,900 篇，按年份分别是 2023 年 660 篇、2024 年 1,471 篇、2025 年 2,078 篇、2026 年 2,691 篇。
- NeurIPS 2026 有多少篇扩散模型论文？
- NeurIPS 2026 有 661 篇扩散模型论文，上一届是 694 篇。
- ICLR 2026 有多少篇扩散模型论文？
- ICLR 2026 有 694 篇扩散模型论文，上一届是 487 篇。
- ICML 2026 有多少篇扩散模型论文？
- ICML 2026 有 728 篇扩散模型论文，上一届是 346 篇。
- CVPR 2026 有多少篇扩散模型论文？
- CVPR 2026 有 608 篇扩散模型论文，上一届是 551 篇。
- 哪个会议的扩散模型论文最多？
- NeurIPS，2023–2026 年共 2,202 篇。
「深度学习」下的其他主题
- 深度学习 · generative models and autoencoders 4,314
- 深度学习 · large language models 2,334
- 深度学习 · self supervised learning 1,958
- 深度学习 · graph neural networks 1,648
- 深度学习 · optimization 953
- 深度学习 · representation learning 802
- 深度学习 · probabilistic methods 637
- 深度学习 · foundation models 536
- 深度学习 · causal inference 316
- 深度学习 · transfer learning 197